Report

Dataset statistics

Number of variables	45
Number of observations	2028
Missing cells	144
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	713.1 KiB
Average record size in memory	360.1 B

Variable types

Numeric	6
Categorical	36
Boolean	3

Alerts

`city` has a high cardinality: 128 distinct values	High cardinality
`delta_probability_fatality_orbital` is highly correlated with `delta_probability_fatality_suborbital`	High correlation
`delta_probability_fatality_suborbital` is highly correlated with `delta_probability_fatality_orbital` and 1 other fields	High correlation
`delta_probability_fatality_moon_trip` is highly correlated with `delta_probability_fatality_suborbital`	High correlation
`delta_price_dollars_suborbital` is highly correlated with `delta_price_dollars_moon_trip`	High correlation
`delta_price_dollars_moon_trip` is highly correlated with `delta_price_dollars_suborbital`	High correlation
`delta_probability_fatality_orbital` is highly correlated with `delta_probability_fatality_suborbital`	High correlation
`delta_probability_fatality_suborbital` is highly correlated with `delta_probability_fatality_orbital` and 1 other fields	High correlation
`delta_probability_fatality_moon_trip` is highly correlated with `delta_probability_fatality_suborbital`	High correlation
`delta_price_dollars_suborbital` is highly correlated with `delta_price_dollars_moon_trip`	High correlation
`delta_price_dollars_moon_trip` is highly correlated with `delta_price_dollars_suborbital`	High correlation
`annual_income` is highly correlated with `household_annual_income`	High correlation
`state` is highly correlated with `region`	High correlation
`availability_orbital` is highly correlated with `delta_probability_fatality_orbital`	High correlation
`average_probability_fatality` is highly correlated with `delta_probability_fatality_suborbital` and 3 other fields	High correlation
`number_passengers_moon_trip` is highly correlated with `delta_probability_fatality_suborbital` and 1 other fields	High correlation
`region` is highly correlated with `state`	High correlation
`delta_probability_fatality_suborbital` is highly correlated with `average_probability_fatality` and 6 other fields	High correlation
`household_annual_income` is highly correlated with `annual_income`	High correlation
`availability_suborbital` is highly correlated with `average_probability_fatality` and 3 other fields	High correlation
`takeoff_location_orbital` is highly correlated with `delta_probability_fatality_orbital`	High correlation
`number_passengers_orbital` is highly correlated with `delta_probability_fatality_suborbital` and 1 other fields	High correlation
`price_attribute_orbital` is highly correlated with `delta_probability_fatality_suborbital` and 1 other fields	High correlation
`delta_probability_fatality_moon_trip` is highly correlated with `average_probability_fatality` and 5 other fields	High correlation
`delta_probability_fatality_orbital` is highly correlated with `availability_orbital` and 6 other fields	High correlation
`df_index` is highly correlated with `annual_income` and 3 other fields	High correlation
`gender` is highly correlated with `household_type` and 2 other fields	High correlation
`annual_income` is highly correlated with `df_index` and 9 other fields	High correlation
`household_annual_income` is highly correlated with `df_index` and 8 other fields	High correlation
`number_vehicles` is highly correlated with `household_type` and 1 other fields	High correlation
`level_education` is highly correlated with `annual_income` and 3 other fields	High correlation
`work_type` is highly correlated with `annual_income` and 3 other fields	High correlation
`children_home` is highly correlated with `household_type` and 1 other fields	High correlation
`household_type` is highly correlated with `gender` and 8 other fields	High correlation
`status_in_household` is highly correlated with `gender` and 2 other fields	High correlation
`type_residence` is highly correlated with `state`	High correlation
`housing_tenure_type` is highly correlated with `household_type` and 1 other fields	High correlation
`race` is highly correlated with `state`	High correlation
`risk_activities_sports` is highly correlated with `state`	High correlation
`price_attribute_suborbital` is highly correlated with `price_attribute_moon_trip` and 1 other fields	High correlation
`availability_suborbital` is highly correlated with `average_probability_fatality` and 1 other fields	High correlation
`training_suborbital` is highly correlated with `takeoff_location_orbital` and 1 other fields	High correlation
`number_passengers_suborbital` is highly correlated with `number_passengers_moon_trip`	High correlation
`takeoff_location_suborbital` is highly correlated with `takeoff_location_moon_trip` and 1 other fields	High correlation
`price_attribute_orbital` is highly correlated with `price_attribute_moon_trip` and 4 other fields	High correlation
`availability_orbital` is highly correlated with `takeoff_location_moon_trip` and 1 other fields	High correlation
`takeoff_location_orbital` is highly correlated with `training_suborbital` and 1 other fields	High correlation
`price_attribute_moon_trip` is highly correlated with `price_attribute_suborbital` and 4 other fields	High correlation
`number_passengers_moon_trip` is highly correlated with `number_passengers_suborbital`	High correlation
`takeoff_location_moon_trip` is highly correlated with `takeoff_location_suborbital` and 2 other fields	High correlation
`age` is highly correlated with `df_index` and 5 other fields	High correlation
`generation_age` is highly correlated with `age` and 1 other fields	High correlation
`state` is highly correlated with `df_index` and 16 other fields	High correlation
`region` is highly correlated with `household_type` and 1 other fields	High correlation
`average_probability_fatality` is highly correlated with `availability_suborbital` and 8 other fields	High correlation
`delta_probability_fatality_orbital` is highly correlated with `price_attribute_orbital` and 4 other fields	High correlation
`delta_probability_fatality_suborbital` is highly correlated with `price_attribute_orbital` and 3 other fields	High correlation
`delta_probability_fatality_moon_trip` is highly correlated with `availability_suborbital` and 4 other fields	High correlation
`average_price_dollars` is highly correlated with `annual_income` and 3 other fields	High correlation
`delta_price_dollars_orbital` is highly correlated with `annual_income` and 5 other fields	High correlation
`delta_price_dollars_suborbital` is highly correlated with `annual_income` and 7 other fields	High correlation
`delta_price_dollars_moon_trip` is highly correlated with `annual_income` and 5 other fields	High correlation
`city` has 48 (2.4%) missing values	Missing
`state` has 48 (2.4%) missing values	Missing
`region` has 48 (2.4%) missing values	Missing
`price_attribute_suborbital` is uniformly distributed	Uniform
`availability_suborbital` is uniformly distributed	Uniform
`availability_orbital` is uniformly distributed	Uniform
`number_passengers_orbital` is uniformly distributed	Uniform
`takeoff_location_orbital` is uniformly distributed	Uniform
`price_attribute_moon_trip` is uniformly distributed	Uniform
`availability_moon_trip` is uniformly distributed	Uniform
`number_passengers_moon_trip` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`delta_price_dollars_orbital` has 169 (8.3%) zeros	Zeros
`delta_price_dollars_suborbital` has 169 (8.3%) zeros	Zeros
`delta_price_dollars_moon_trip` has 169 (8.3%) zeros	Zeros

Reproduction

Analysis started	2023-04-30 09:57:55.255881
Analysis finished	2023-04-30 09:58:13.733147
Duration	18.48 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	2028
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1080.884615

Minimum	0
Maximum	2159
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	16.0 KiB

Quantile statistics

Minimum	0
5-th percentile	101.35
Q1	530.75
median	1085.5
Q3	1628.25
95-th percentile	2045.65
Maximum	2159
Range	2159
Interquartile range (IQR)	1097.5

Descriptive statistics

Standard deviation	626.6864769
Coefficient of variation (CV)	0.5797903569
Kurtosis	-1.201594269
Mean	1080.884615
Median Absolute Deviation (MAD)	549
Skewness	-0.01984256506
Sum	2192034
Variance	392735.9403
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
1431	1	< 0.1%
1444	1	< 0.1%
1443	1	< 0.1%
1442	1	< 0.1%
1441	1	< 0.1%
1440	1	< 0.1%
1439	1	< 0.1%
1438	1	< 0.1%
1437	1	< 0.1%
Other values (2018)	2018	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
2159	1	< 0.1%
2158	1	< 0.1%
2157	1	< 0.1%
2156	1	< 0.1%
2155	1	< 0.1%
2154	1	< 0.1%
2153	1	< 0.1%
2152	1	< 0.1%
2151	1	< 0.1%
2150	1	< 0.1%

choice
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

suborbital	570
moon_trip	545
not_travel	459
orbital	454

Length

Max length	10
Median length	10
Mean length	9.059664694
Min length	7

Characters and Unicode

Total characters	18373
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	moon_trip
2nd row	suborbital
3rd row	moon_trip
4th row	moon_trip
5th row	suborbital

Common Values

Value	Count	Frequency (%)
suborbital	570	28.1%
moon_trip	545	26.9%
not_travel	459	22.6%
orbital	454	22.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
suborbital	570	28.1%
moon_trip	545	26.9%
not_travel	459	22.6%
orbital	454	22.4%

Most occurring characters

Value	Count	Frequency (%)
o	2573	14.0%
t	2487	13.5%
r	2028	11.0%
b	1594	8.7%
i	1569	8.5%
a	1483	8.1%
l	1483	8.1%
n	1004	5.5%
_	1004	5.5%
s	570	3.1%
Other values (5)	2578	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17369	94.5%
Connector Punctuation	1004	5.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2573	14.8%
t	2487	14.3%
r	2028	11.7%
b	1594	9.2%
i	1569	9.0%
a	1483	8.5%
l	1483	8.5%
n	1004	5.8%
s	570	3.3%
u	570	3.3%
Other values (4)	2008	11.6%

Connector Punctuation

Value	Count	Frequency (%)
_	1004	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17369	94.5%
Common	1004	5.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2573	14.8%
t	2487	14.3%
r	2028	11.7%
b	1594	9.2%
i	1569	9.0%
a	1483	8.5%
l	1483	8.5%
n	1004	5.8%
s	570	3.3%
u	570	3.3%
Other values (4)	2008	11.6%

Common

Value	Count	Frequency (%)
_	1004	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18373	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2573	14.0%
t	2487	13.5%
r	2028	11.0%
b	1594	8.7%
i	1569	8.5%
a	1483	8.1%
l	1483	8.1%
n	1004	5.5%
_	1004	5.5%
s	570	3.1%
Other values (5)	2578	14.0%

gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

male	1200
female	828

Length

Max length	6
Median length	4
Mean length	4.816568047
Min length	4

Characters and Unicode

Total characters	9768
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Common Values

Value	Count	Frequency (%)
male	1200	59.2%
female	828	40.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	1200	59.2%
female	828	40.8%

Most occurring characters

Value	Count	Frequency (%)
e	2856	29.2%
m	2028	20.8%
a	2028	20.8%
l	2028	20.8%
f	828	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9768	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2856	29.2%
m	2028	20.8%
a	2028	20.8%
l	2028	20.8%
f	828	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9768	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2856	29.2%
m	2028	20.8%
a	2028	20.8%
l	2028	20.8%
f	828	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2856	29.2%
m	2028	20.8%
a	2028	20.8%
l	2028	20.8%
f	828	8.5%

annual_income
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

35k_50k	432
50k_75k	384
15k_25k	324
25k_35k	264
75k_100k	228
Other values (5)	396

Length

Max length	14
Median length	7
Mean length	7.899408284
Min length	7

Characters and Unicode

Total characters	16020
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	100k_150k
2nd row	100k_150k
3rd row	100k_150k
4th row	100k_150k
5th row	100k_150k

Common Values

Value	Count	Frequency (%)
35k_50k	432	21.3%
50k_75k	384	18.9%
15k_25k	324	16.0%
25k_35k	264	13.0%
75k_100k	228	11.2%
less_than_10k	216	10.7%
100k_150k	72	3.6%
10k_15k	60	3.0%
150k_200k	36	1.8%
more_than_200k	12	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
35k_50k	432	21.3%
50k_75k	384	18.9%
15k_25k	324	16.0%
25k_35k	264	13.0%
75k_100k	228	11.2%
less_than_10k	216	10.7%
100k_150k	72	3.6%
10k_15k	60	3.0%
150k_200k	36	1.8%
more_than_200k	12	0.6%

Most occurring characters

Value	Count	Frequency (%)
k	3828	23.9%
5	3204	20.0%
_	2256	14.1%
0	1896	11.8%
1	1068	6.7%
3	696	4.3%
2	636	4.0%
7	612	3.8%
s	432	2.7%
h	228	1.4%
Other values (8)	1164	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8112	50.6%
Lowercase Letter	5652	35.3%
Connector Punctuation	2256	14.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
k	3828	67.7%
s	432	7.6%
h	228	4.0%
n	228	4.0%
a	228	4.0%
e	228	4.0%
t	228	4.0%
l	216	3.8%
m	12	0.2%
o	12	0.2%

Decimal Number

Value	Count	Frequency (%)
5	3204	39.5%
0	1896	23.4%
1	1068	13.2%
3	696	8.6%
2	636	7.8%
7	612	7.5%

Connector Punctuation

Value	Count	Frequency (%)
_	2256	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10368	64.7%
Latin	5652	35.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
k	3828	67.7%
s	432	7.6%
h	228	4.0%
n	228	4.0%
a	228	4.0%
e	228	4.0%
t	228	4.0%
l	216	3.8%
m	12	0.2%
o	12	0.2%

Common

Value	Count	Frequency (%)
5	3204	30.9%
_	2256	21.8%
0	1896	18.3%
1	1068	10.3%
3	696	6.7%
2	636	6.1%
7	612	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16020	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
k	3828	23.9%
5	3204	20.0%
_	2256	14.1%
0	1896	11.8%
1	1068	6.7%
3	696	4.3%
2	636	4.0%
7	612	3.8%
s	432	2.7%
h	228	1.4%
Other values (8)	1164	7.3%

household_annual_income
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

50k_75k	564
75k_100k	480
35k_50k	276
100k_150k	192
25k_35k	156
Other values (5)	360

Length

Max length	14
Median length	7
Mean length	7.846153846
Min length	7

Characters and Unicode

Total characters	15912
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	150k_200k
2nd row	150k_200k
3rd row	150k_200k
4th row	150k_200k
5th row	150k_200k

Common Values

Value	Count	Frequency (%)
50k_75k	564	27.8%
75k_100k	480	23.7%
35k_50k	276	13.6%
100k_150k	192	9.5%
25k_35k	156	7.7%
15k_25k	120	5.9%
150k_200k	84	4.1%
less_than_10k	72	3.6%
10k_15k	48	2.4%
more_than_200k	36	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
50k_75k	564	27.8%
75k_100k	480	23.7%
35k_50k	276	13.6%
100k_150k	192	9.5%
25k_35k	156	7.7%
15k_25k	120	5.9%
150k_200k	84	4.1%
less_than_10k	72	3.6%
10k_15k	48	2.4%
more_than_200k	36	1.8%

Most occurring characters

Value	Count	Frequency (%)
k	3948	24.8%
5	3036	19.1%
0	2820	17.7%
_	2136	13.4%
1	1236	7.8%
7	1044	6.6%
3	432	2.7%
2	396	2.5%
s	144	0.9%
h	108	0.7%
Other values (8)	612	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8964	56.3%
Lowercase Letter	4812	30.2%
Connector Punctuation	2136	13.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
k	3948	82.0%
s	144	3.0%
h	108	2.2%
n	108	2.2%
a	108	2.2%
e	108	2.2%
t	108	2.2%
l	72	1.5%
m	36	0.7%
o	36	0.7%

Decimal Number

Value	Count	Frequency (%)
5	3036	33.9%
0	2820	31.5%
1	1236	13.8%
7	1044	11.6%
3	432	4.8%
2	396	4.4%

Connector Punctuation

Value	Count	Frequency (%)
_	2136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11100	69.8%
Latin	4812	30.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
k	3948	82.0%
s	144	3.0%
h	108	2.2%
n	108	2.2%
a	108	2.2%
e	108	2.2%
t	108	2.2%
l	72	1.5%
m	36	0.7%
o	36	0.7%

Common

Value	Count	Frequency (%)
5	3036	27.4%
0	2820	25.4%
_	2136	19.2%
1	1236	11.1%
7	1044	9.4%
3	432	3.9%
2	396	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15912	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
k	3948	24.8%
5	3036	19.1%
0	2820	17.7%
_	2136	13.4%
1	1236	7.8%
7	1044	6.6%
3	432	2.7%
2	396	2.5%
s	144	0.9%
h	108	0.7%
Other values (8)	612	3.8%

number_vehicles
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

2_cars	1068
1_car	732
3_cars	132
4_or_more_cars	96

Length

Max length	14
Median length	6
Mean length	6.017751479
Min length	5

Characters and Unicode

Total characters	12204
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1_car
2nd row	1_car
3rd row	1_car
4th row	1_car
5th row	1_car

Common Values

Value	Count	Frequency (%)
2_cars	1068	52.7%
1_car	732	36.1%
3_cars	132	6.5%
4_or_more_cars	96	4.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2_cars	1068	52.7%
1_car	732	36.1%
3_cars	132	6.5%
4_or_more_cars	96	4.7%

Most occurring characters

Value	Count	Frequency (%)
_	2220	18.2%
r	2220	18.2%
c	2028	16.6%
a	2028	16.6%
s	1296	10.6%
2	1068	8.8%
1	732	6.0%
o	192	1.6%
3	132	1.1%
4	96	0.8%
Other values (2)	192	1.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7956	65.2%
Connector Punctuation	2220	18.2%
Decimal Number	2028	16.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2220	27.9%
c	2028	25.5%
a	2028	25.5%
s	1296	16.3%
o	192	2.4%
m	96	1.2%
e	96	1.2%

Decimal Number

Value	Count	Frequency (%)
2	1068	52.7%
1	732	36.1%
3	132	6.5%
4	96	4.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7956	65.2%
Common	4248	34.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2220	27.9%
c	2028	25.5%
a	2028	25.5%
s	1296	16.3%
o	192	2.4%
m	96	1.2%
e	96	1.2%

Common

Value	Count	Frequency (%)
_	2220	52.3%
2	1068	25.1%
1	732	17.2%
3	132	3.1%
4	96	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12204	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	2220	18.2%
r	2220	18.2%
c	2028	16.6%
a	2028	16.6%
s	1296	10.6%
2	1068	8.8%
1	732	6.0%
o	192	1.6%
3	132	1.1%
4	96	0.8%
Other values (2)	192	1.6%

level_education
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

bachelor_degree	1272
grad_prof_degree	300
some_college	252
high_school_graduate	132
associate_degree	72

Length

Max length	20
Median length	15
Mean length	15.13609467
Min length	12

Characters and Unicode

Total characters	30696
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	grad_prof_degree
2nd row	grad_prof_degree
3rd row	grad_prof_degree
4th row	grad_prof_degree
5th row	grad_prof_degree

Common Values

Value	Count	Frequency (%)
bachelor_degree	1272	62.7%
grad_prof_degree	300	14.8%
some_college	252	12.4%
high_school_graduate	132	6.5%
associate_degree	72	3.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bachelor_degree	1272	62.7%
grad_prof_degree	300	14.8%
some_college	252	12.4%
high_school_graduate	132	6.5%
associate_degree	72	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	7164	23.3%
r	3648	11.9%
g	2460	8.0%
_	2460	8.0%
o	2412	7.9%
d	2076	6.8%
a	1980	6.5%
l	1908	6.2%
c	1728	5.6%
h	1668	5.4%
Other values (8)	3192	10.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28236	92.0%
Connector Punctuation	2460	8.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7164	25.4%
r	3648	12.9%
g	2460	8.7%
o	2412	8.5%
d	2076	7.4%
a	1980	7.0%
l	1908	6.8%
c	1728	6.1%
h	1668	5.9%
b	1272	4.5%
Other values (7)	1920	6.8%

Connector Punctuation

Value	Count	Frequency (%)
_	2460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28236	92.0%
Common	2460	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7164	25.4%
r	3648	12.9%
g	2460	8.7%
o	2412	8.5%
d	2076	7.4%
a	1980	7.0%
l	1908	6.8%
c	1728	6.1%
h	1668	5.9%
b	1272	4.5%
Other values (7)	1920	6.8%

Common

Value	Count	Frequency (%)
_	2460	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7164	23.3%
r	3648	11.9%
g	2460	8.0%
_	2460	8.0%
o	2412	7.9%
d	2076	6.8%
a	1980	6.5%
l	1908	6.2%
c	1728	5.6%
h	1668	5.4%
Other values (8)	3192	10.4%

work_type
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

private	1488
self_employed	384
government	108
unpaid_work	48

Length

Max length	13
Median length	7
Mean length	8.390532544
Min length	7

Characters and Unicode

Total characters	17016
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	private
2nd row	private
3rd row	private
4th row	private
5th row	private

Common Values

Value	Count	Frequency (%)
private	1488	73.4%
self_employed	384	18.9%
government	108	5.3%
unpaid_work	48	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
private	1488	73.4%
self_employed	384	18.9%
government	108	5.3%
unpaid_work	48	2.4%

Most occurring characters

Value	Count	Frequency (%)
e	2856	16.8%
p	1920	11.3%
r	1644	9.7%
v	1596	9.4%
t	1596	9.4%
i	1536	9.0%
a	1536	9.0%
l	768	4.5%
o	540	3.2%
m	492	2.9%
Other values (10)	2532	14.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16584	97.5%
Connector Punctuation	432	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2856	17.2%
p	1920	11.6%
r	1644	9.9%
v	1596	9.6%
t	1596	9.6%
i	1536	9.3%
a	1536	9.3%
l	768	4.6%
o	540	3.3%
m	492	3.0%
Other values (9)	2100	12.7%

Connector Punctuation

Value	Count	Frequency (%)
_	432	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16584	97.5%
Common	432	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2856	17.2%
p	1920	11.6%
r	1644	9.9%
v	1596	9.6%
t	1596	9.6%
i	1536	9.3%
a	1536	9.3%
l	768	4.6%
o	540	3.3%
m	492	3.0%
Other values (9)	2100	12.7%

Common

Value	Count	Frequency (%)
_	432	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2856	16.8%
p	1920	11.3%
r	1644	9.7%
v	1596	9.4%
t	1596	9.4%
i	1536	9.0%
a	1536	9.0%
l	768	4.5%
o	540	3.2%
m	492	2.9%
Other values (10)	2532	14.9%

children_home
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

0_children	804
2_children	600
1_child	528
4_children	36
3_children	36

Length

Max length	18
Median length	10
Mean length	9.313609467
Min length	7

Characters and Unicode

Total characters	18888
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1_child
2nd row	1_child
3rd row	1_child
4th row	1_child
5th row	1_child

Common Values

Value	Count	Frequency (%)
0_children	804	39.6%
2_children	600	29.6%
1_child	528	26.0%
4_children	36	1.8%
3_children	36	1.8%
5_children_or_more	24	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0_children	804	39.6%
2_children	600	29.6%
1_child	528	26.0%
4_children	36	1.8%
3_children	36	1.8%
5_children_or_more	24	1.2%

Most occurring characters

Value	Count	Frequency (%)
_	2076	11.0%
c	2028	10.7%
h	2028	10.7%
i	2028	10.7%
l	2028	10.7%
d	2028	10.7%
r	1548	8.2%
e	1524	8.1%
n	1500	7.9%
0	804	4.3%
Other values (7)	1296	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14784	78.3%
Connector Punctuation	2076	11.0%
Decimal Number	2028	10.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	2028	13.7%
h	2028	13.7%
i	2028	13.7%
l	2028	13.7%
d	2028	13.7%
r	1548	10.5%
e	1524	10.3%
n	1500	10.1%
o	48	0.3%
m	24	0.2%

Decimal Number

Value	Count	Frequency (%)
0	804	39.6%
2	600	29.6%
1	528	26.0%
4	36	1.8%
3	36	1.8%
5	24	1.2%

Connector Punctuation

Value	Count	Frequency (%)
_	2076	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14784	78.3%
Common	4104	21.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	2028	13.7%
h	2028	13.7%
i	2028	13.7%
l	2028	13.7%
d	2028	13.7%
r	1548	10.5%
e	1524	10.3%
n	1500	10.1%
o	48	0.3%
m	24	0.2%

Common

Value	Count	Frequency (%)
_	2076	50.6%
0	804	19.6%
2	600	14.6%
1	528	12.9%
4	36	0.9%
3	36	0.9%
5	24	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18888	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	2076	11.0%
c	2028	10.7%
h	2028	10.7%
i	2028	10.7%
l	2028	10.7%
d	2028	10.7%
r	1548	8.2%
e	1524	8.1%
n	1500	7.9%
0	804	4.3%
Other values (7)	1296	6.9%

household_type
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

couple_with_children	1008
couple_no_children	312
male_no_children	156
male_with_children	132
alone	120
Other values (3)	300

Length

Max length	20
Median length	20
Mean length	17.71597633
Min length	5

Characters and Unicode

Total characters	35928
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	couple_with_children
2nd row	couple_with_children
3rd row	couple_with_children
4th row	couple_with_children
5th row	couple_with_children

Common Values

Value	Count	Frequency (%)
couple_with_children	1008	49.7%
couple_no_children	312	15.4%
male_no_children	156	7.7%
male_with_children	132	6.5%
alone	120	5.9%
female_no_children	120	5.9%
female_with_children	108	5.3%
other	72	3.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
couple_with_children	1008	49.7%
couple_no_children	312	15.4%
male_no_children	156	7.7%
male_with_children	132	6.5%
alone	120	5.9%
female_no_children	120	5.9%
female_with_children	108	5.3%
other	72	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	4092	11.4%
l	3792	10.6%
_	3672	10.2%
c	3156	8.8%
h	3156	8.8%
i	3084	8.6%
n	2544	7.1%
o	2100	5.8%
r	1908	5.3%
d	1836	5.1%
Other values (7)	6588	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32256	89.8%
Connector Punctuation	3672	10.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4092	12.7%
l	3792	11.8%
c	3156	9.8%
h	3156	9.8%
i	3084	9.6%
n	2544	7.9%
o	2100	6.5%
r	1908	5.9%
d	1836	5.7%
p	1320	4.1%
Other values (6)	5268	16.3%

Connector Punctuation

Value	Count	Frequency (%)
_	3672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32256	89.8%
Common	3672	10.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4092	12.7%
l	3792	11.8%
c	3156	9.8%
h	3156	9.8%
i	3084	9.6%
n	2544	7.9%
o	2100	6.5%
r	1908	5.9%
d	1836	5.7%
p	1320	4.1%
Other values (6)	5268	16.3%

Common

Value	Count	Frequency (%)
_	3672	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35928	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4092	11.4%
l	3792	10.6%
_	3672	10.2%
c	3156	8.8%
h	3156	8.8%
i	3084	8.6%
n	2544	7.1%
o	2100	5.8%
r	1908	5.3%
d	1836	5.1%
Other values (7)	6588	18.3%

status_in_household
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

head	1212
spouse	624
child	96
other	96

Length

Max length	6
Median length	4
Mean length	4.710059172
Min length	4

Characters and Unicode

Total characters	9552
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	head
2nd row	head
3rd row	head
4th row	head
5th row	head

Common Values

Value	Count	Frequency (%)
head	1212	59.8%
spouse	624	30.8%
child	96	4.7%
other	96	4.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
head	1212	59.8%
spouse	624	30.8%
child	96	4.7%
other	96	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	1932	20.2%
h	1404	14.7%
d	1308	13.7%
s	1248	13.1%
a	1212	12.7%
o	720	7.5%
p	624	6.5%
u	624	6.5%
c	96	1.0%
i	96	1.0%
Other values (3)	288	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9552	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1932	20.2%
h	1404	14.7%
d	1308	13.7%
s	1248	13.1%
a	1212	12.7%
o	720	7.5%
p	624	6.5%
u	624	6.5%
c	96	1.0%
i	96	1.0%
Other values (3)	288	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9552	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1932	20.2%
h	1404	14.7%
d	1308	13.7%
s	1248	13.1%
a	1212	12.7%
o	720	7.5%
p	624	6.5%
u	624	6.5%
c	96	1.0%
i	96	1.0%
Other values (3)	288	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9552	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1932	20.2%
h	1404	14.7%
d	1308	13.7%
s	1248	13.1%
a	1212	12.7%
o	720	7.5%
p	624	6.5%
u	624	6.5%
c	96	1.0%
i	96	1.0%
Other values (3)	288	3.0%

type_residence
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

house	1572
apartment	444
other	12

Length

Max length	9
Median length	5
Mean length	5.875739645
Min length	5

Characters and Unicode

Total characters	11916
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	house
3rd row	house
4th row	house
5th row	house

Common Values

Value	Count	Frequency (%)
house	1572	77.5%
apartment	444	21.9%
other	12	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
house	1572	77.5%
apartment	444	21.9%
other	12	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	2028	17.0%
h	1584	13.3%
o	1584	13.3%
u	1572	13.2%
s	1572	13.2%
t	900	7.6%
a	888	7.5%
r	456	3.8%
p	444	3.7%
m	444	3.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11916	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2028	17.0%
h	1584	13.3%
o	1584	13.3%
u	1572	13.2%
s	1572	13.2%
t	900	7.6%
a	888	7.5%
r	456	3.8%
p	444	3.7%
m	444	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11916	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2028	17.0%
h	1584	13.3%
o	1584	13.3%
u	1572	13.2%
s	1572	13.2%
t	900	7.6%
a	888	7.5%
r	456	3.8%
p	444	3.7%
m	444	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2028	17.0%
h	1584	13.3%
o	1584	13.3%
u	1572	13.2%
s	1572	13.2%
t	900	7.6%
a	888	7.5%
r	456	3.8%
p	444	3.7%
m	444	3.7%

housing_tenure_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

own	1524
rent	504

Length

Max length	4
Median length	3
Mean length	3.24852071
Min length	3

Characters and Unicode

Total characters	6588
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	own
2nd row	own
3rd row	own
4th row	own
5th row	own

Common Values

Value	Count	Frequency (%)
own	1524	75.1%
rent	504	24.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
own	1524	75.1%
rent	504	24.9%

Most occurring characters

Value	Count	Frequency (%)
n	2028	30.8%
o	1524	23.1%
w	1524	23.1%
r	504	7.7%
e	504	7.7%
t	504	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6588	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	2028	30.8%
o	1524	23.1%
w	1524	23.1%
r	504	7.7%
e	504	7.7%
t	504	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6588	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	2028	30.8%
o	1524	23.1%
w	1524	23.1%
r	504	7.7%
e	504	7.7%
t	504	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	2028	30.8%
o	1524	23.1%
w	1524	23.1%
r	504	7.7%
e	504	7.7%
t	504	7.7%

origin
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

non_hispanic	1656
hispanic	372

Length

Max length	12
Median length	12
Mean length	11.26627219
Min length	8

Characters and Unicode

Total characters	22848
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	non_hispanic
2nd row	non_hispanic
3rd row	non_hispanic
4th row	non_hispanic
5th row	non_hispanic

Common Values

Value	Count	Frequency (%)
non_hispanic	1656	81.7%
hispanic	372	18.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
non_hispanic	1656	81.7%
hispanic	372	18.3%

Most occurring characters

Value	Count	Frequency (%)
n	5340	23.4%
i	4056	17.8%
h	2028	8.9%
s	2028	8.9%
p	2028	8.9%
a	2028	8.9%
c	2028	8.9%
o	1656	7.2%
_	1656	7.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21192	92.8%
Connector Punctuation	1656	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5340	25.2%
i	4056	19.1%
h	2028	9.6%
s	2028	9.6%
p	2028	9.6%
a	2028	9.6%
c	2028	9.6%
o	1656	7.8%

Connector Punctuation

Value	Count	Frequency (%)
_	1656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21192	92.8%
Common	1656	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5340	25.2%
i	4056	19.1%
h	2028	9.6%
s	2028	9.6%
p	2028	9.6%
a	2028	9.6%
c	2028	9.6%
o	1656	7.8%

Common

Value	Count	Frequency (%)
_	1656	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5340	23.4%
i	4056	17.8%
h	2028	8.9%
s	2028	8.9%
p	2028	8.9%
a	2028	8.9%
c	2028	8.9%
o	1656	7.2%
_	1656	7.2%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

white	1668
asian	144
black	108
two_or_more_races	96
other_race	12

Length

Max length	17
Median length	5
Mean length	5.597633136
Min length	5

Characters and Unicode

Total characters	11352
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	asian
2nd row	asian
3rd row	asian
4th row	asian
5th row	asian

Common Values

Value	Count	Frequency (%)
white	1668	82.2%
asian	144	7.1%
black	108	5.3%
two_or_more_races	96	4.7%
other_race	12	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
white	1668	82.2%
asian	144	7.1%
black	108	5.3%
two_or_more_races	96	4.7%
other_race	12	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	1884	16.6%
i	1812	16.0%
t	1776	15.6%
w	1764	15.5%
h	1680	14.8%
a	504	4.4%
r	312	2.7%
o	300	2.6%
_	300	2.6%
s	240	2.1%
Other values (6)	780	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11052	97.4%
Connector Punctuation	300	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1884	17.0%
i	1812	16.4%
t	1776	16.1%
w	1764	16.0%
h	1680	15.2%
a	504	4.6%
r	312	2.8%
o	300	2.7%
s	240	2.2%
c	216	2.0%
Other values (5)	564	5.1%

Connector Punctuation

Value	Count	Frequency (%)
_	300	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11052	97.4%
Common	300	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1884	17.0%
i	1812	16.4%
t	1776	16.1%
w	1764	16.0%
h	1680	15.2%
a	504	4.6%
r	312	2.8%
o	300	2.7%
s	240	2.2%
c	216	2.0%
Other values (5)	564	5.1%

Common

Value	Count	Frequency (%)
_	300	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11352	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1884	16.6%
i	1812	16.0%
t	1776	15.6%
w	1764	15.5%
h	1680	14.8%
a	504	4.4%
r	312	2.7%
o	300	2.6%
_	300	2.6%
s	240	2.1%
Other values (6)	780	6.9%

citizenship
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

us_citizen	1980
other	48

Length

Max length	10
Median length	10
Mean length	9.881656805
Min length	5

Characters and Unicode

Total characters	20040
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	us_citizen
2nd row	us_citizen
3rd row	us_citizen
4th row	us_citizen
5th row	us_citizen

Common Values

Value	Count	Frequency (%)
us_citizen	1980	97.6%
other	48	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
us_citizen	1980	97.6%
other	48	2.4%

Most occurring characters

Value	Count	Frequency (%)
i	3960	19.8%
t	2028	10.1%
e	2028	10.1%
u	1980	9.9%
s	1980	9.9%
_	1980	9.9%
c	1980	9.9%
z	1980	9.9%
n	1980	9.9%
o	48	0.2%
Other values (2)	96	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18060	90.1%
Connector Punctuation	1980	9.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	3960	21.9%
t	2028	11.2%
e	2028	11.2%
u	1980	11.0%
s	1980	11.0%
c	1980	11.0%
z	1980	11.0%
n	1980	11.0%
o	48	0.3%
h	48	0.3%

Connector Punctuation

Value	Count	Frequency (%)
_	1980	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18060	90.1%
Common	1980	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	3960	21.9%
t	2028	11.2%
e	2028	11.2%
u	1980	11.0%
s	1980	11.0%
c	1980	11.0%
z	1980	11.0%
n	1980	11.0%
o	48	0.3%
h	48	0.3%

Common

Value	Count	Frequency (%)
_	1980	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20040	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	3960	19.8%
t	2028	10.1%
e	2028	10.1%
u	1980	9.9%
s	1980	9.9%
_	1980	9.9%
c	1980	9.9%
z	1980	9.9%
n	1980	9.9%
o	48	0.2%
Other values (2)	96	0.5%

risk_activities_sports
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

rarely	900
never	720
often	408

Length

Max length	6
Median length	5
Mean length	5.443786982
Min length	5

Characters and Unicode

Total characters	11040
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	never
2nd row	never
3rd row	never
4th row	never
5th row	never

Common Values

Value	Count	Frequency (%)
rarely	900	44.4%
never	720	35.5%
often	408	20.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
rarely	900	44.4%
never	720	35.5%
often	408	20.1%

Most occurring characters

Value	Count	Frequency (%)
e	2748	24.9%
r	2520	22.8%
n	1128	10.2%
a	900	8.2%
l	900	8.2%
y	900	8.2%
v	720	6.5%
o	408	3.7%
f	408	3.7%
t	408	3.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11040	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2748	24.9%
r	2520	22.8%
n	1128	10.2%
a	900	8.2%
l	900	8.2%
y	900	8.2%
v	720	6.5%
o	408	3.7%
f	408	3.7%
t	408	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11040	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2748	24.9%
r	2520	22.8%
n	1128	10.2%
a	900	8.2%
l	900	8.2%
y	900	8.2%
v	720	6.5%
o	408	3.7%
f	408	3.7%
t	408	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11040	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2748	24.9%
r	2520	22.8%
n	1128	10.2%
a	900	8.2%
l	900	8.2%
y	900	8.2%
v	720	6.5%
o	408	3.7%
f	408	3.7%
t	408	3.7%

price_attribute_suborbital
Categorical

HIGH CORRELATION
UNIFORM

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

362_perc_annual_income	676
50_perc_annual_income	676
3_perc_annual_income	676

Length

Max length	22
Median length	21
Mean length	21
Min length	20

Characters and Unicode

Total characters	42588
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	362_perc_annual_income
2nd row	362_perc_annual_income
3rd row	50_perc_annual_income
4th row	3_perc_annual_income
5th row	50_perc_annual_income

Common Values

Value	Count	Frequency (%)
362_perc_annual_income	676	33.3%
50_perc_annual_income	676	33.3%
3_perc_annual_income	676	33.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
362_perc_annual_income	676	33.3%
50_perc_annual_income	676	33.3%
3_perc_annual_income	676	33.3%

Most occurring characters

Value	Count	Frequency (%)
_	6084	14.3%
n	6084	14.3%
a	4056	9.5%
e	4056	9.5%
c	4056	9.5%
i	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
o	2028	4.8%
Other values (7)	8112	19.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32448	76.2%
Connector Punctuation	6084	14.3%
Decimal Number	4056	9.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	6084	18.8%
a	4056	12.5%
e	4056	12.5%
c	4056	12.5%
i	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
o	2028	6.2%
u	2028	6.2%

Decimal Number

Value	Count	Frequency (%)
3	1352	33.3%
6	676	16.7%
2	676	16.7%
5	676	16.7%
0	676	16.7%

Connector Punctuation

Value	Count	Frequency (%)
_	6084	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32448	76.2%
Common	10140	23.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	6084	18.8%
a	4056	12.5%
e	4056	12.5%
c	4056	12.5%
i	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
o	2028	6.2%
u	2028	6.2%

Common

Value	Count	Frequency (%)
_	6084	60.0%
3	1352	13.3%
6	676	6.7%
2	676	6.7%
5	676	6.7%
0	676	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	6084	14.3%
n	6084	14.3%
a	4056	9.5%
e	4056	9.5%
c	4056	9.5%
i	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
o	2028	4.8%
Other values (7)	8112	19.0%

availability_suborbital
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

immediate	1014
in_5_years	1014

Length

Max length	10
Median length	9.5
Mean length	9.5
Min length	9

Characters and Unicode

Total characters	19266
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	immediate
2nd row	immediate
3rd row	in_5_years
4th row	in_5_years
5th row	in_5_years

Common Values

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16224	84.2%
Connector Punctuation	2028	10.5%
Decimal Number	1014	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Connector Punctuation

Value	Count	Frequency (%)
_	2028	100.0%

Decimal Number

Value	Count	Frequency (%)
5	1014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16224	84.2%
Common	3042	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Common

Value	Count	Frequency (%)
_	2028	66.7%
5	1014	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19266	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

training_suborbital
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

False	1014
True	1014

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	1014	50.0%
True	1014	50.0%

number_passengers_suborbital
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

one	1021
more_than_one	1007

Length

Max length	13
Median length	3
Mean length	7.965483235
Min length	3

Characters and Unicode

Total characters	16154
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	one
2nd row	one
3rd row	one
4th row	more_than_one
5th row	more_than_one

Common Values

Value	Count	Frequency (%)
one	1021	50.3%
more_than_one	1007	49.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
one	1021	50.3%
more_than_one	1007	49.7%

Most occurring characters

Value	Count	Frequency (%)
o	3035	18.8%
n	3035	18.8%
e	3035	18.8%
_	2014	12.5%
m	1007	6.2%
r	1007	6.2%
t	1007	6.2%
h	1007	6.2%
a	1007	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14140	87.5%
Connector Punctuation	2014	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3035	21.5%
n	3035	21.5%
e	3035	21.5%
m	1007	7.1%
r	1007	7.1%
t	1007	7.1%
h	1007	7.1%
a	1007	7.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14140	87.5%
Common	2014	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3035	21.5%
n	3035	21.5%
e	3035	21.5%
m	1007	7.1%
r	1007	7.1%
t	1007	7.1%
h	1007	7.1%
a	1007	7.1%

Common

Value	Count	Frequency (%)
_	2014	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16154	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3035	18.8%
n	3035	18.8%
e	3035	18.8%
_	2014	12.5%
m	1007	6.2%
r	1007	6.2%
t	1007	6.2%
h	1007	6.2%
a	1007	6.2%

takeoff_location_suborbital
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

usa	1021
other	1007

Length

Max length	5
Median length	3
Mean length	3.993096647
Min length	3

Characters and Unicode

Total characters	8098
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	usa
2nd row	usa
3rd row	usa
4th row	usa
5th row	usa

Common Values

Value	Count	Frequency (%)
usa	1021	50.3%
other	1007	49.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usa	1021	50.3%
other	1007	49.7%

Most occurring characters

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8098	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8098	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

price_attribute_orbital
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

362_perc_annual_income	683
3_perc_annual_income	683
50_perc_annual_income	662

Length

Max length	22
Median length	21
Mean length	21
Min length	20

Characters and Unicode

Total characters	42588
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	362_perc_annual_income
2nd row	362_perc_annual_income
3rd row	362_perc_annual_income
4th row	50_perc_annual_income
5th row	50_perc_annual_income

Common Values

Value	Count	Frequency (%)
362_perc_annual_income	683	33.7%
3_perc_annual_income	683	33.7%
50_perc_annual_income	662	32.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
362_perc_annual_income	683	33.7%
3_perc_annual_income	683	33.7%
50_perc_annual_income	662	32.6%

Most occurring characters

Value	Count	Frequency (%)
_	6084	14.3%
n	6084	14.3%
a	4056	9.5%
e	4056	9.5%
c	4056	9.5%
i	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
o	2028	4.8%
Other values (7)	8112	19.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32448	76.2%
Connector Punctuation	6084	14.3%
Decimal Number	4056	9.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	6084	18.8%
a	4056	12.5%
e	4056	12.5%
c	4056	12.5%
i	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
o	2028	6.2%
u	2028	6.2%

Decimal Number

Value	Count	Frequency (%)
3	1366	33.7%
6	683	16.8%
2	683	16.8%
5	662	16.3%
0	662	16.3%

Connector Punctuation

Value	Count	Frequency (%)
_	6084	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32448	76.2%
Common	10140	23.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	6084	18.8%
a	4056	12.5%
e	4056	12.5%
c	4056	12.5%
i	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
o	2028	6.2%
u	2028	6.2%

Common

Value	Count	Frequency (%)
_	6084	60.0%
3	1366	13.5%
6	683	6.7%
2	683	6.7%
5	662	6.5%
0	662	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	6084	14.3%
n	6084	14.3%
a	4056	9.5%
e	4056	9.5%
c	4056	9.5%
i	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
o	2028	4.8%
Other values (7)	8112	19.0%

availability_orbital
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

immediate	1014
in_5_years	1014

Length

Max length	10
Median length	9.5
Mean length	9.5
Min length	9

Characters and Unicode

Total characters	19266
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	immediate
2nd row	immediate
3rd row	in_5_years
4th row	immediate
5th row	immediate

Common Values

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16224	84.2%
Connector Punctuation	2028	10.5%
Decimal Number	1014	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Connector Punctuation

Value	Count	Frequency (%)
_	2028	100.0%

Decimal Number

Value	Count	Frequency (%)
5	1014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16224	84.2%
Common	3042	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Common

Value	Count	Frequency (%)
_	2028	66.7%
5	1014	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19266	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

training_orbital
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

True	1014
False	1014

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	1014	50.0%
False	1014	50.0%

number_passengers_orbital
Categorical

HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

one	1014
more_than_one	1014

Length

Max length	13
Median length	8
Mean length	8
Min length	3

Characters and Unicode

Total characters	16224
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	one
2nd row	more_than_one
3rd row	one
4th row	one
5th row	more_than_one

Common Values

Value	Count	Frequency (%)
one	1014	50.0%
more_than_one	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
one	1014	50.0%
more_than_one	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
o	3042	18.8%
n	3042	18.8%
e	3042	18.8%
_	2028	12.5%
m	1014	6.2%
r	1014	6.2%
t	1014	6.2%
h	1014	6.2%
a	1014	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14196	87.5%
Connector Punctuation	2028	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3042	21.4%
n	3042	21.4%
e	3042	21.4%
m	1014	7.1%
r	1014	7.1%
t	1014	7.1%
h	1014	7.1%
a	1014	7.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2028	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14196	87.5%
Common	2028	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3042	21.4%
n	3042	21.4%
e	3042	21.4%
m	1014	7.1%
r	1014	7.1%
t	1014	7.1%
h	1014	7.1%
a	1014	7.1%

Common

Value	Count	Frequency (%)
_	2028	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3042	18.8%
n	3042	18.8%
e	3042	18.8%
_	2028	12.5%
m	1014	6.2%
r	1014	6.2%
t	1014	6.2%
h	1014	6.2%
a	1014	6.2%

takeoff_location_orbital
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

usa	1014
other	1014

Length

Max length	5
Median length	4
Mean length	4
Min length	3

Characters and Unicode

Total characters	8112
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	usa
2nd row	other
3rd row	other
4th row	other
5th row	other

Common Values

Value	Count	Frequency (%)
usa	1014	50.0%
other	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usa	1014	50.0%
other	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
u	1014	12.5%
s	1014	12.5%
a	1014	12.5%
o	1014	12.5%
t	1014	12.5%
h	1014	12.5%
e	1014	12.5%
r	1014	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8112	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1014	12.5%
s	1014	12.5%
a	1014	12.5%
o	1014	12.5%
t	1014	12.5%
h	1014	12.5%
e	1014	12.5%
r	1014	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8112	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1014	12.5%
s	1014	12.5%
a	1014	12.5%
o	1014	12.5%
t	1014	12.5%
h	1014	12.5%
e	1014	12.5%
r	1014	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1014	12.5%
s	1014	12.5%
a	1014	12.5%
o	1014	12.5%
t	1014	12.5%
h	1014	12.5%
e	1014	12.5%
r	1014	12.5%

price_attribute_moon_trip
Categorical

HIGH CORRELATION
UNIFORM

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

3_perc_annual_income	676
362_perc_annual_income	676
50_perc_annual_income	676

Length

Max length	22
Median length	21
Mean length	21
Min length	20

Characters and Unicode

Total characters	42588
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3_perc_annual_income
2nd row	362_perc_annual_income
3rd row	50_perc_annual_income
4th row	50_perc_annual_income
5th row	3_perc_annual_income

Common Values

Value	Count	Frequency (%)
3_perc_annual_income	676	33.3%
362_perc_annual_income	676	33.3%
50_perc_annual_income	676	33.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3_perc_annual_income	676	33.3%
362_perc_annual_income	676	33.3%
50_perc_annual_income	676	33.3%

Most occurring characters

Value	Count	Frequency (%)
n	6084	14.3%
_	6084	14.3%
e	4056	9.5%
c	4056	9.5%
a	4056	9.5%
u	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
l	2028	4.8%
Other values (7)	8112	19.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32448	76.2%
Connector Punctuation	6084	14.3%
Decimal Number	4056	9.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	6084	18.8%
e	4056	12.5%
c	4056	12.5%
a	4056	12.5%
u	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
l	2028	6.2%
i	2028	6.2%

Decimal Number

Value	Count	Frequency (%)
3	1352	33.3%
6	676	16.7%
2	676	16.7%
5	676	16.7%
0	676	16.7%

Connector Punctuation

Value	Count	Frequency (%)
_	6084	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32448	76.2%
Common	10140	23.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	6084	18.8%
e	4056	12.5%
c	4056	12.5%
a	4056	12.5%
u	2028	6.2%
m	2028	6.2%
p	2028	6.2%
r	2028	6.2%
l	2028	6.2%
i	2028	6.2%

Common

Value	Count	Frequency (%)
_	6084	60.0%
3	1352	13.3%
6	676	6.7%
2	676	6.7%
5	676	6.7%
0	676	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	6084	14.3%
_	6084	14.3%
e	4056	9.5%
c	4056	9.5%
a	4056	9.5%
u	2028	4.8%
m	2028	4.8%
p	2028	4.8%
r	2028	4.8%
l	2028	4.8%
Other values (7)	8112	19.0%

availability_moon_trip
Categorical

UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

immediate	1014
in_5_years	1014

Length

Max length	10
Median length	9.5
Mean length	9.5
Min length	9

Characters and Unicode

Total characters	19266
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	immediate
2nd row	in_5_years
3rd row	immediate
4th row	in_5_years
5th row	immediate

Common Values

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
immediate	1014	50.0%
in_5_years	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16224	84.2%
Connector Punctuation	2028	10.5%
Decimal Number	1014	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Connector Punctuation

Value	Count	Frequency (%)
_	2028	100.0%

Decimal Number

Value	Count	Frequency (%)
5	1014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16224	84.2%
Common	3042	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	3042	18.8%
e	3042	18.8%
m	2028	12.5%
a	2028	12.5%
d	1014	6.2%
t	1014	6.2%
n	1014	6.2%
y	1014	6.2%
r	1014	6.2%
s	1014	6.2%

Common

Value	Count	Frequency (%)
_	2028	66.7%
5	1014	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19266	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	3042	15.8%
e	3042	15.8%
m	2028	10.5%
a	2028	10.5%
_	2028	10.5%
d	1014	5.3%
t	1014	5.3%
n	1014	5.3%
5	1014	5.3%
y	1014	5.3%
Other values (2)	2028	10.5%

training_moon_trip
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

False	1014
True	1014

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	1014	50.0%
True	1014	50.0%

number_passengers_moon_trip
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

more_than_one	1014
one	1014

Length

Max length	13
Median length	8
Mean length	8
Min length	3

Characters and Unicode

Total characters	16224
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	more_than_one
2nd row	one
3rd row	more_than_one
4th row	one
5th row	more_than_one

Common Values

Value	Count	Frequency (%)
more_than_one	1014	50.0%
one	1014	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
more_than_one	1014	50.0%
one	1014	50.0%

Most occurring characters

Value	Count	Frequency (%)
o	3042	18.8%
e	3042	18.8%
n	3042	18.8%
_	2028	12.5%
m	1014	6.2%
r	1014	6.2%
t	1014	6.2%
h	1014	6.2%
a	1014	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14196	87.5%
Connector Punctuation	2028	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3042	21.4%
e	3042	21.4%
n	3042	21.4%
m	1014	7.1%
r	1014	7.1%
t	1014	7.1%
h	1014	7.1%
a	1014	7.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2028	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14196	87.5%
Common	2028	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3042	21.4%
e	3042	21.4%
n	3042	21.4%
m	1014	7.1%
r	1014	7.1%
t	1014	7.1%
h	1014	7.1%
a	1014	7.1%

Common

Value	Count	Frequency (%)
_	2028	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3042	18.8%
e	3042	18.8%
n	3042	18.8%
_	2028	12.5%
m	1014	6.2%
r	1014	6.2%
t	1014	6.2%
h	1014	6.2%
a	1014	6.2%

takeoff_location_moon_trip
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

usa	1021
other	1007

Length

Max length	5
Median length	3
Mean length	3.993096647
Min length	3

Characters and Unicode

Total characters	8098
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	usa
2nd row	usa
3rd row	other
4th row	usa
5th row	usa

Common Values

Value	Count	Frequency (%)
usa	1021	50.3%
other	1007	49.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usa	1021	50.3%
other	1007	49.7%

Most occurring characters

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8098	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8098	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1021	12.6%
s	1021	12.6%
a	1021	12.6%
o	1007	12.4%
t	1007	12.4%
h	1007	12.4%
e	1007	12.4%
r	1007	12.4%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	45
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.86390533

Minimum	21
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.0 KiB

Quantile statistics

Minimum	21
5-th percentile	26
Q1	31
median	37
Q3	51
95-th percentile	64
Maximum	72
Range	51
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	12.19182395
Coefficient of variation (CV)	0.2983519038
Kurtosis	-0.8041997522
Mean	40.86390533
Median Absolute Deviation (MAD)	8
Skewness	0.5635826803
Sum	82872
Variance	148.6405712
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
27	156	7.7%
32	120	5.9%
30	108	5.3%
34	96	4.7%
37	96	4.7%
29	72	3.6%
33	72	3.6%
42	72	3.6%
41	72	3.6%
54	60	3.0%
Other values (35)	1104	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	12	0.6%
24	12	0.6%
25	60	3.0%
26	36	1.8%
27	156	7.7%
28	48	2.4%
29	72	3.6%
30	108	5.3%
31	60	3.0%
32	120	5.9%

Value	Count	Frequency (%)
72	12	0.6%
69	12	0.6%
67	12	0.6%
66	12	0.6%
65	36	1.8%
64	48	2.4%
61	12	0.6%
60	36	1.8%
59	12	0.6%
58	48	2.4%

generation_age
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

millenials	1092
gen_x	468
centennials	276
baby_boomers	192

Length

Max length	12
Median length	10
Mean length	9.171597633
Min length	5

Characters and Unicode

Total characters	18600
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	millenials
2nd row	millenials
3rd row	millenials
4th row	millenials
5th row	millenials

Common Values

Value	Count	Frequency (%)
millenials	1092	53.8%
gen_x	468	23.1%
centennials	276	13.6%
baby_boomers	192	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
millenials	1092	53.8%
gen_x	468	23.1%
centennials	276	13.6%
baby_boomers	192	9.5%

Most occurring characters

Value	Count	Frequency (%)
l	3552	19.1%
i	2460	13.2%
n	2388	12.8%
e	2304	12.4%
a	1560	8.4%
s	1560	8.4%
m	1284	6.9%
_	660	3.5%
b	576	3.1%
g	468	2.5%
Other values (6)	1788	9.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17940	96.5%
Connector Punctuation	660	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	3552	19.8%
i	2460	13.7%
n	2388	13.3%
e	2304	12.8%
a	1560	8.7%
s	1560	8.7%
m	1284	7.2%
b	576	3.2%
g	468	2.6%
x	468	2.6%
Other values (5)	1320	7.4%

Connector Punctuation

Value	Count	Frequency (%)
_	660	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17940	96.5%
Common	660	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	3552	19.8%
i	2460	13.7%
n	2388	13.3%
e	2304	12.8%
a	1560	8.7%
s	1560	8.7%
m	1284	7.2%
b	576	3.2%
g	468	2.6%
x	468	2.6%
Other values (5)	1320	7.4%

Common

Value	Count	Frequency (%)
_	660	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	3552	19.1%
i	2460	13.2%
n	2388	12.8%
e	2304	12.4%
a	1560	8.4%
s	1560	8.4%
m	1284	6.9%
_	660	3.5%
b	576	3.1%
g	468	2.5%
Other values (6)	1788	9.6%

city
Categorical

HIGH CARDINALITY
MISSING

Distinct	128
Distinct (%)	6.5%
Missing	48
Missing (%)	2.4%
Memory size	16.0 KiB

New York	96
Los Angeles	48
Compton	36
Anchorage	36
Houston	36
Other values (123)	1728

Length

Max length	19
Median length	15
Mean length	9.060606061
Min length	4

Characters and Unicode

Total characters	17940
Distinct characters	47
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rochester
2nd row	Rochester
3rd row	Rochester
4th row	Rochester
5th row	Rochester

Common Values

Value	Count	Frequency (%)
New York	96	4.7%
Los Angeles	48	2.4%
Compton	36	1.8%
Anchorage	36	1.8%
Houston	36	1.8%
Stamford	36	1.8%
Anaheim	36	1.8%
Minneapolis	24	1.2%
San Jose	24	1.2%
South San Francisco	24	1.2%
Other values (118)	1584	78.1%
(Missing)	48	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
new	108	4.1%
san	108	4.1%
york	96	3.6%
south	48	1.8%
los	48	1.8%
angeles	48	1.8%
valley	48	1.8%
francisco	48	1.8%
park	36	1.4%
vegas	36	1.4%
Other values (139)	2040	76.6%

Most occurring characters

Value	Count	Frequency (%)
e	1584	8.8%
o	1512	8.4%
a	1488	8.3%
n	1452	8.1%
l	1128	6.3%
i	1068	6.0%
r	1068	6.0%
s	900	5.0%
t	804	4.5%
	684	3.8%
Other values (37)	6252	34.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14592	81.3%
Uppercase Letter	2664	14.8%
Space Separator	684	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1584	10.9%
o	1512	10.4%
a	1488	10.2%
n	1452	10.0%
l	1128	7.7%
i	1068	7.3%
r	1068	7.3%
s	900	6.2%
t	804	5.5%
u	432	3.0%
Other values (13)	3156	21.6%

Uppercase Letter

Value	Count	Frequency (%)
S	360	13.5%
A	276	10.4%
M	216	8.1%
C	216	8.1%
L	216	8.1%
B	180	6.8%
N	132	5.0%
V	120	4.5%
H	120	4.5%
P	120	4.5%
Other values (13)	708	26.6%

Space Separator

Value	Count	Frequency (%)
	684	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17256	96.2%
Common	684	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1584	9.2%
o	1512	8.8%
a	1488	8.6%
n	1452	8.4%
l	1128	6.5%
i	1068	6.2%
r	1068	6.2%
s	900	5.2%
t	804	4.7%
u	432	2.5%
Other values (36)	5820	33.7%

Common

Value	Count	Frequency (%)
	684	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17940	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1584	8.8%
o	1512	8.4%
a	1488	8.3%
n	1452	8.1%
l	1128	6.3%
i	1068	6.0%
r	1068	6.0%
s	900	5.0%
t	804	4.5%
	684	3.8%
Other values (37)	6252	34.8%

state
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	1.5%
Missing	48
Missing (%)	2.4%
Memory size	16.0 KiB

CA	504
TX	216
NY	180
FL	180
OH	72
Other values (25)	828

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	3960
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MN
2nd row	MN
3rd row	MN
4th row	MN
5th row	MN

Common Values

Value	Count	Frequency (%)
CA	504	24.9%
TX	216	10.7%
NY	180	8.9%
FL	180	8.9%
OH	72	3.6%
CT	60	3.0%
WA	60	3.0%
PA	48	2.4%
MD	48	2.4%
NJ	48	2.4%
Other values (20)	564	27.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	504	25.5%
tx	216	10.9%
ny	180	9.1%
fl	180	9.1%
oh	72	3.6%
ct	60	3.0%
wa	60	3.0%
pa	48	2.4%
md	48	2.4%
nj	48	2.4%
Other values (20)	564	28.5%

Most occurring characters

Value	Count	Frequency (%)
A	792	20.0%
C	684	17.3%
N	396	10.0%
T	276	7.0%
L	252	6.4%
X	216	5.5%
Y	216	5.5%
F	180	4.5%
O	120	3.0%
W	108	2.7%
Other values (13)	720	18.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3960	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	792	20.0%
C	684	17.3%
N	396	10.0%
T	276	7.0%
L	252	6.4%
X	216	5.5%
Y	216	5.5%
F	180	4.5%
O	120	3.0%
W	108	2.7%
Other values (13)	720	18.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3960	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	792	20.0%
C	684	17.3%
N	396	10.0%
T	276	7.0%
L	252	6.4%
X	216	5.5%
Y	216	5.5%
F	180	4.5%
O	120	3.0%
W	108	2.7%
Other values (13)	720	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	792	20.0%
C	684	17.3%
N	396	10.0%
T	276	7.0%
L	252	6.4%
X	216	5.5%
Y	216	5.5%
F	180	4.5%
O	120	3.0%
W	108	2.7%
Other values (13)	720	18.2%

region
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	48
Missing (%)	2.4%
Memory size	16.0 KiB

west	708
south	708
northeast	348
midwest	216

Length

Max length	9
Median length	7
Mean length	5.563636364
Min length	4

Characters and Unicode

Total characters	11016
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	midwest
2nd row	midwest
3rd row	midwest
4th row	midwest
5th row	midwest

Common Values

Value	Count	Frequency (%)
west	708	34.9%
south	708	34.9%
northeast	348	17.2%
midwest	216	10.7%
(Missing)	48	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
west	708	35.8%
south	708	35.8%
northeast	348	17.6%
midwest	216	10.9%

Most occurring characters

Value	Count	Frequency (%)
t	2328	21.1%
s	1980	18.0%
e	1272	11.5%
o	1056	9.6%
h	1056	9.6%
w	924	8.4%
u	708	6.4%
n	348	3.2%
r	348	3.2%
a	348	3.2%
Other values (3)	648	5.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11016	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2328	21.1%
s	1980	18.0%
e	1272	11.5%
o	1056	9.6%
h	1056	9.6%
w	924	8.4%
u	708	6.4%
n	348	3.2%
r	348	3.2%
a	348	3.2%
Other values (3)	648	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11016	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2328	21.1%
s	1980	18.0%
e	1272	11.5%
o	1056	9.6%
h	1056	9.6%
w	924	8.4%
u	708	6.4%
n	348	3.2%
r	348	3.2%
a	348	3.2%
Other values (3)	648	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2328	21.1%
s	1980	18.0%
e	1272	11.5%
o	1056	9.6%
h	1056	9.6%
w	924	8.4%
u	708	6.4%
n	348	3.2%
r	348	3.2%
a	348	3.2%
Other values (3)	648	5.9%

average_probability_fatality
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

5.166666666666667	852
2.8333333333333335	838
0.5	169
7.5	169

Length

Max length	18
Median length	17
Mean length	15.07988166
Min length	3

Characters and Unicode

Total characters	30582
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.8333333333333335
2nd row	2.8333333333333335
3rd row	2.8333333333333335
4th row	5.166666666666667
5th row	2.8333333333333335

Common Values

Value	Count	Frequency (%)
5.166666666666667	852	42.0%
2.8333333333333335	838	41.3%
0.5	169	8.3%
7.5	169	8.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.166666666666667	852	42.0%
2.8333333333333335	838	41.3%
0.5	169	8.3%
7.5	169	8.3%

Most occurring characters

Value	Count	Frequency (%)
3	11732	38.4%
6	11076	36.2%
5	2028	6.6%
.	2028	6.6%
7	1021	3.3%
1	852	2.8%
2	838	2.7%
8	838	2.7%
0	169	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28554	93.4%
Other Punctuation	2028	6.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	11732	41.1%
6	11076	38.8%
5	2028	7.1%
7	1021	3.6%
1	852	3.0%
2	838	2.9%
8	838	2.9%
0	169	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	2028	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30582	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	11732	38.4%
6	11076	36.2%
5	2028	6.6%
.	2028	6.6%
7	1021	3.3%
1	852	2.8%
2	838	2.7%
8	838	2.7%
0	169	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30582	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	11732	38.4%
6	11076	36.2%
5	2028	6.6%
.	2028	6.6%
7	1021	3.3%
1	852	2.8%
2	838	2.7%
8	838	2.7%
0	169	0.6%

delta_probability_fatality_orbital
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

-2.333333333333333	683
2.3333333333333335	669
0.0	338
4.666666666666667	169
-4.666666666666666	169

Length

Max length	18
Median length	18
Mean length	15.41666667
Min length	3

Characters and Unicode

Total characters	31265
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.3333333333333335
2nd row	2.3333333333333335
3rd row	2.3333333333333335
4th row	-2.333333333333333
5th row	2.3333333333333335

Common Values

Value	Count	Frequency (%)
-2.333333333333333	683	33.7%
2.3333333333333335	669	33.0%
0.0	338	16.7%
4.666666666666667	169	8.3%
-4.666666666666666	169	8.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.333333333333333	683	33.7%
2.3333333333333335	669	33.0%
0.0	338	16.7%
4.666666666666667	169	8.3%
4.666666666666666	169	8.3%

Most occurring characters

Value	Count	Frequency (%)
3	20280	64.9%
6	4901	15.7%
.	2028	6.5%
2	1352	4.3%
-	852	2.7%
0	676	2.2%
5	669	2.1%
4	338	1.1%
7	169	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28385	90.8%
Other Punctuation	2028	6.5%
Dash Punctuation	852	2.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	20280	71.4%
6	4901	17.3%
2	1352	4.8%
0	676	2.4%
5	669	2.4%
4	338	1.2%
7	169	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	2028	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	852	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31265	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	20280	64.9%
6	4901	15.7%
.	2028	6.5%
2	1352	4.3%
-	852	2.7%
0	676	2.2%
5	669	2.1%
4	338	1.1%
7	169	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	20280	64.9%
6	4901	15.7%
.	2028	6.5%
2	1352	4.3%
-	852	2.7%
0	676	2.2%
5	669	2.1%
4	338	1.1%
7	169	0.5%

delta_probability_fatality_suborbital
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

4.666666666666667	433
-4.666666666666666	426
-2.333333333333333	419
2.3333333333333335	412
0.0	338

Length

Max length	18
Median length	18
Mean length	15.28648915
Min length	3

Characters and Unicode

Total characters	31001
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-4.666666666666666
2nd row	2.3333333333333335
3rd row	-4.666666666666666
4th row	-2.333333333333333
5th row	2.3333333333333335

Common Values

Value	Count	Frequency (%)
4.666666666666667	433	21.4%
-4.666666666666666	426	21.0%
-2.333333333333333	419	20.7%
2.3333333333333335	412	20.3%
0.0	338	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4.666666666666667	433	21.4%
4.666666666666666	426	21.0%
2.333333333333333	419	20.7%
2.3333333333333335	412	20.3%
0.0	338	16.7%

Most occurring characters

Value	Count	Frequency (%)
3	12465	40.2%
6	12452	40.2%
.	2028	6.5%
4	859	2.8%
-	845	2.7%
2	831	2.7%
0	676	2.2%
7	433	1.4%
5	412	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28128	90.7%
Other Punctuation	2028	6.5%
Dash Punctuation	845	2.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	12465	44.3%
6	12452	44.3%
4	859	3.1%
2	831	3.0%
0	676	2.4%
7	433	1.5%
5	412	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	2028	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	845	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31001	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	12465	40.2%
6	12452	40.2%
.	2028	6.5%
4	859	2.8%
-	845	2.7%
2	831	2.7%
0	676	2.2%
7	433	1.4%
5	412	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	12465	40.2%
6	12452	40.2%
.	2028	6.5%
4	859	2.8%
-	845	2.7%
2	831	2.7%
0	676	2.2%
7	433	1.4%
5	412	1.3%

delta_probability_fatality_moon_trip
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.0 KiB

-2.333333333333333	602
2.3333333333333335	595
0.0	338
4.666666666666667	250
-4.666666666666666	243

Length

Max length	18
Median length	18
Mean length	15.37672584
Min length	3

Characters and Unicode

Total characters	31184
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.3333333333333335
2nd row	-4.666666666666666
3rd row	2.3333333333333335
4th row	4.666666666666667
5th row	-4.666666666666666

Common Values

Value	Count	Frequency (%)
-2.333333333333333	602	29.7%
2.3333333333333335	595	29.3%
0.0	338	16.7%
4.666666666666667	250	12.3%
-4.666666666666666	243	12.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.333333333333333	602	29.7%
2.3333333333333335	595	29.3%
0.0	338	16.7%
4.666666666666667	250	12.3%
4.666666666666666	243	12.0%

Most occurring characters

Value	Count	Frequency (%)
3	17955	57.6%
6	7145	22.9%
.	2028	6.5%
2	1197	3.8%
-	845	2.7%
0	676	2.2%
5	595	1.9%
4	493	1.6%
7	250	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28311	90.8%
Other Punctuation	2028	6.5%
Dash Punctuation	845	2.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	17955	63.4%
6	7145	25.2%
2	1197	4.2%
0	676	2.4%
5	595	2.1%
4	493	1.7%
7	250	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	2028	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	845	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31184	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	17955	57.6%
6	7145	22.9%
.	2028	6.5%
2	1197	3.8%
-	845	2.7%
0	676	2.2%
5	595	1.9%
4	493	1.6%
7	250	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31184	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	17955	57.6%
6	7145	22.9%
.	2028	6.5%
2	1197	3.8%
-	845	2.7%
0	676	2.2%
5	595	1.9%
4	493	1.6%
7	250	0.8%

average_price_dollars
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	87
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65352.42234

Minimum	150
Maximum	906250
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.0 KiB

Quantile statistics

Minimum	150
5-th percentile	1716.666667
Q1	14591.66667
median	42466.66667
Q3	86562.5
95-th percentile	212333.3333
Maximum	906250
Range	906100
Interquartile range (IQR)	71970.83333

Descriptive statistics

Standard deviation	74740.40561
Coefficient of variation (CV)	1.14365165
Kurtosis	15.97366737
Mean	65352.42234
Median Absolute Deviation (MAD)	34304.16667
Skewness	2.919543249
Sum	132534712.5
Variance	5586128231
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58862.5	92	4.5%
21458.33333	86	4.2%
14591.66667	84	4.1%
86562.5	78	3.8%
24237.5	68	3.4%
6008.333333	66	3.3%
41550	60	3.0%
103133.3333	56	2.8%
52204.16667	52	2.6%
65520.83333	52	2.6%
Other values (77)	1334	65.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
150	10	0.5%
375	2	0.1%
525	14	0.7%
900	16	0.8%
933.3333333	10	0.5%
1275	20	1.0%
1716.666667	42	2.1%
1875	14	0.7%
2333.333333	2	0.1%
2625	9	0.4%

Value	Count	Frequency (%)
906250	1	< 0.1%
634375	2	0.1%
606666.6667	1	< 0.1%
453125	4	0.2%
452083.3333	2	0.1%
424666.6667	4	0.2%
385416.6667	2	0.1%
346250	2	0.1%
322916.6667	4	0.2%
317187.5	10	0.5%

delta_price_dollars_orbital
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	110
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	460.3920118

Minimum	-520833.3333
Maximum	419416.6667
Zeros	169
Zeros (%)	8.3%
Negative	1014
Negative (%)	50.0%
Memory size	16.0 KiB

Quantile statistics

Minimum	-520833.3333
5-th percentile	-130208.3333
Q1	-20970.83333
median	-391.6666667
Q3	35950
95-th percentile	104854.1667
Maximum	419416.6667
Range	940250
Interquartile range (IQR)	56920.83333

Descriptive statistics

Standard deviation	70804.38836
Coefficient of variation (CV)	153.7915223
Kurtosis	5.438636278
Mean	460.3920118
Median Absolute Deviation (MAD)	27025
Skewness	-0.3777568901
Sum	933675
Variance	5013261411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	169	8.3%
-9791.666667	72	3.6%
-6658.333333	64	3.2%
50929.16667	52	2.6%
-2741.666667	52	2.6%
74895.83333	50	2.5%
-44270.83333	40	2.0%
20970.83333	40	2.0%
-13708.33333	40	2.0%
-50929.16667	36	1.8%
Other values (100)	1413	69.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-520833.3333	1	< 0.1%
-392000	1	< 0.1%
-364583.3333	3	0.1%
-299583.3333	1	< 0.1%
-280000	2	0.1%
-260416.6667	6	0.3%
-209708.3333	3	0.1%
-196000	9	0.4%
-182291.6667	2	0.1%
-182291.6667	19	0.9%

Value	Count	Frequency (%)
419416.6667	1	< 0.1%
338750	1	< 0.1%
299583.3333	4	0.2%
260416.6667	1	< 0.1%
237125	3	0.1%
221250	1	< 0.1%
209708.3333	14	0.7%
182291.6667	2	0.1%
169375	6	0.3%
154875	3	0.1%

delta_price_dollars_suborbital
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	116
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-230.1960059

Minimum	-599166.6667
Maximum	419416.6667
Zeros	169
Zeros (%)	8.3%
Negative	764
Negative (%)	37.7%
Memory size	16.0 KiB

Quantile statistics

Minimum	-599166.6667
5-th percentile	-140000
Q1	-20970.83333
median	4700
Q3	37612.5
95-th percentile	104854.1667
Maximum	419416.6667
Range	1018583.333
Interquartile range (IQR)	58583.33333

Descriptive statistics

Standard deviation	79533.63183
Coefficient of variation (CV)	-345.5039609
Kurtosis	6.472710744
Mean	-230.1960059
Median Absolute Deviation (MAD)	31758.33333
Skewness	-1.013494704
Sum	-466837.5
Variance	6325598591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	169	8.3%
19583.33333	56	2.8%
44270.83333	52	2.6%
65104.16667	50	2.5%
13316.66667	48	2.4%
18229.16667	40	2.0%
5483.333333	39	1.9%
-149791.6667	38	1.9%
-6658.333333	36	1.8%
-101858.3333	36	1.8%
Other values (106)	1464	72.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-599166.6667	1	< 0.1%
-560000	1	< 0.1%
-419416.6667	3	0.1%
-392000	3	0.1%
-299583.3333	7	0.3%
-280000	6	0.3%
-209708.3333	22	1.1%
-196000	19	0.9%
-182291.6667	1	< 0.1%
-149791.6667	38	1.9%

Value	Count	Frequency (%)
419416.6667	1	< 0.1%
364583.3333	1	< 0.1%
299583.3333	3	0.1%
260416.6667	4	0.2%
237125	1	< 0.1%
221250	1	< 0.1%
209708.3333	11	0.5%
182291.6667	5	0.2%
182291.6667	9	0.4%
169375	2	0.1%

delta_price_dollars_moon_trip
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	127
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-230.1960059

Minimum	-599166.6667
Maximum	599166.6667
Zeros	169
Zeros (%)	8.3%
Negative	926
Negative (%)	45.7%
Memory size	16.0 KiB

Quantile statistics

Minimum	-599166.6667
5-th percentile	-140000
Q1	-20970.83333
median	0
Q3	36458.33333
95-th percentile	118562.5
Maximum	599166.6667
Range	1198333.333
Interquartile range (IQR)	57429.16667

Descriptive statistics

Standard deviation	82803.26818
Coefficient of variation (CV)	-359.7076668
Kurtosis	7.750530459
Mean	-230.1960059
Median Absolute Deviation (MAD)	31250
Skewness	-0.6113856292
Sum	-466837.5
Variance	6856381222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	169	8.3%
-6658.333333	68	3.4%
-9791.666667	68	3.4%
-2741.666667	53	2.6%
-50929.16667	40	2.0%
-13708.33333	39	1.9%
57587.5	36	1.8%
-95200	36	1.8%
44270.83333	36	1.8%
50929.16667	36	1.8%
Other values (117)	1447	71.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-599166.6667	1	< 0.1%
-560000	1	< 0.1%
-520833.3333	1	< 0.1%
-419416.6667	2	0.1%
-392000	3	0.1%
-364583.3333	2	0.1%
-299583.3333	4	0.2%
-280000	6	0.3%
-260416.6667	4	0.2%
-209708.3333	12	0.6%

Value	Count	Frequency (%)
599166.6667	1	< 0.1%
419416.6667	2	0.1%
364583.3333	1	< 0.1%
338750	1	< 0.1%
299583.3333	5	0.2%
260416.6667	3	0.1%
237125	3	0.1%
209708.3333	13	0.6%
182291.6667	3	0.1%
182291.6667	9	0.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	choice	gender	annual_income	household_annual_income	number_vehicles	level_education	work_type	children_home	household_type	status_in_household	type_residence	housing_tenure_type	origin	race	citizenship	risk_activities_sports	price_attribute_suborbital	availability_suborbital	training_suborbital	number_passengers_suborbital	takeoff_location_suborbital	price_attribute_orbital	availability_orbital	training_orbital	number_passengers_orbital	takeoff_location_orbital	price_attribute_moon_trip	availability_moon_trip	training_moon_trip	number_passengers_moon_trip	takeoff_location_moon_trip	age	generation_age	city	state	region	average_probability_fatality	delta_probability_fatality_orbital	delta_probability_fatality_suborbital	delta_probability_fatality_moon_trip	average_price_dollars	delta_price_dollars_orbital	delta_price_dollars_suborbital	delta_price_dollars_moon_trip
0	0	moon_trip	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	362_perc_annual_income	immediate	no	one	usa	362_perc_annual_income	immediate	yes	one	usa	3_perc_annual_income	immediate	no	more_than_one	usa	46	millenials	Rochester	MN	midwest	2.833333	2.333333	-4.666667	2.333333	303333.333333	-149791.666667	-149791.666667	299583.333333
1	1	suborbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	362_perc_annual_income	immediate	yes	one	usa	362_perc_annual_income	immediate	yes	more_than_one	other	362_perc_annual_income	in_5_years	no	one	usa	46	millenials	Rochester	MN	midwest	2.833333	2.333333	2.333333	-4.666667	453125.000000	0.000000	0.000000	0.000000
2	2	moon_trip	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	50_perc_annual_income	in_5_years	yes	one	usa	362_perc_annual_income	in_5_years	no	one	other	50_perc_annual_income	immediate	no	more_than_one	other	46	millenials	Rochester	MN	midwest	2.833333	2.333333	-4.666667	2.333333	192708.333333	-260416.666667	130208.333333	130208.333333
3	3	moon_trip	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	3_perc_annual_income	in_5_years	no	more_than_one	usa	50_perc_annual_income	immediate	no	one	other	50_perc_annual_income	in_5_years	yes	one	usa	46	millenials	Rochester	MN	midwest	5.166667	-2.333333	-2.333333	4.666667	42916.666667	-19583.333333	39166.666667	-19583.333333
4	4	suborbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	50_perc_annual_income	in_5_years	yes	more_than_one	usa	50_perc_annual_income	immediate	no	more_than_one	other	3_perc_annual_income	immediate	yes	more_than_one	usa	46	millenials	Rochester	MN	midwest	2.833333	2.333333	2.333333	-4.666667	42916.666667	-19583.333333	-19583.333333	39166.666667
5	5	suborbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	3_perc_annual_income	in_5_years	no	one	other	50_perc_annual_income	in_5_years	yes	more_than_one	usa	50_perc_annual_income	immediate	no	one	other	46	millenials	Rochester	MN	midwest	2.833333	2.333333	2.333333	-4.666667	42916.666667	-19583.333333	39166.666667	-19583.333333
6	6	suborbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	3_perc_annual_income	immediate	yes	one	other	50_perc_annual_income	immediate	no	more_than_one	other	50_perc_annual_income	in_5_years	yes	one	usa	46	millenials	Rochester	MN	midwest	5.166667	-2.333333	4.666667	-2.333333	42916.666667	-19583.333333	39166.666667	-19583.333333
7	7	orbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	50_perc_annual_income	immediate	no	more_than_one	other	3_perc_annual_income	immediate	no	more_than_one	usa	362_perc_annual_income	immediate	yes	more_than_one	other	46	millenials	Rochester	MN	midwest	0.500000	0.000000	0.000000	0.000000	173125.000000	169375.000000	110625.000000	-280000.000000
8	8	not_travel	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	50_perc_annual_income	immediate	no	more_than_one	other	50_perc_annual_income	in_5_years	yes	one	usa	362_perc_annual_income	in_5_years	no	one	other	46	millenials	Rochester	MN	midwest	5.166667	-2.333333	-2.333333	4.666667	192708.333333	130208.333333	130208.333333	-260416.666667
9	9	orbital	male	100k_150k	150k_200k	1_car	grad_prof_degree	private	1_child	couple_with_children	head	house	own	non_hispanic	asian	us_citizen	never	362_perc_annual_income	in_5_years	no	more_than_one	other	50_perc_annual_income	in_5_years	yes	one	usa	3_perc_annual_income	in_5_years	yes	more_than_one	other	46	millenials	Rochester	MN	midwest	5.166667	4.666667	-2.333333	-2.333333	173125.000000	110625.000000	-280000.000000	169375.000000

Last rows

	df_index	choice	gender	annual_income	household_annual_income	number_vehicles	level_education	work_type	children_home	household_type	status_in_household	type_residence	housing_tenure_type	origin	race	citizenship	risk_activities_sports	price_attribute_suborbital	availability_suborbital	training_suborbital	number_passengers_suborbital	takeoff_location_suborbital	price_attribute_orbital	availability_orbital	training_orbital	number_passengers_orbital	takeoff_location_orbital	price_attribute_moon_trip	availability_moon_trip	training_moon_trip	number_passengers_moon_trip	takeoff_location_moon_trip	age	generation_age	city	state	region	average_probability_fatality	delta_probability_fatality_orbital	delta_probability_fatality_suborbital	delta_probability_fatality_moon_trip	average_price_dollars	delta_price_dollars_orbital	delta_price_dollars_suborbital	delta_price_dollars_moon_trip
2018	2150	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	50_perc_annual_income	in_5_years	yes	one	usa	362_perc_annual_income	immediate	yes	more_than_one	usa	362_perc_annual_income	immediate	no	one	usa	41	millenials	Palm Springs	CA	west	5.166667	-2.333333	4.666667	-2.333333	226041.666667	-91145.833333	182291.666667	-91145.833333
2019	2151	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	3_perc_annual_income	immediate	no	more_than_one	usa	3_perc_annual_income	immediate	no	one	usa	3_perc_annual_income	in_5_years	no	one	other	41	millenials	Palm Springs	CA	west	0.500000	0.000000	0.000000	0.000000	2625.000000	0.000000	0.000000	0.000000
2020	2152	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	50_perc_annual_income	in_5_years	no	more_than_one	usa	3_perc_annual_income	immediate	yes	more_than_one	usa	362_perc_annual_income	immediate	yes	more_than_one	usa	41	millenials	Palm Springs	CA	west	5.166667	-2.333333	4.666667	-2.333333	121187.500000	118562.500000	77437.500000	-196000.000000
2021	2153	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	3_perc_annual_income	immediate	yes	more_than_one	usa	362_perc_annual_income	in_5_years	yes	more_than_one	other	50_perc_annual_income	in_5_years	yes	more_than_one	usa	41	millenials	Palm Springs	CA	west	2.833333	2.333333	-4.666667	2.333333	121187.500000	-196000.000000	118562.500000	77437.500000
2022	2154	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	362_perc_annual_income	immediate	yes	more_than_one	usa	3_perc_annual_income	in_5_years	no	one	other	362_perc_annual_income	in_5_years	yes	more_than_one	other	41	millenials	Palm Springs	CA	west	2.833333	2.333333	-4.666667	2.333333	212333.333333	209708.333333	-104854.166667	-104854.166667
2023	2155	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	362_perc_annual_income	in_5_years	no	one	other	3_perc_annual_income	in_5_years	yes	more_than_one	other	3_perc_annual_income	in_5_years	yes	one	other	41	millenials	Palm Springs	CA	west	5.166667	-2.333333	4.666667	-2.333333	107479.166667	104854.166667	-209708.333333	104854.166667
2024	2156	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	50_perc_annual_income	immediate	no	one	other	362_perc_annual_income	in_5_years	no	more_than_one	other	50_perc_annual_income	immediate	yes	one	other	41	millenials	Palm Springs	CA	west	7.500000	0.000000	0.000000	0.000000	134895.833333	-182291.666667	91145.833333	91145.833333
2025	2157	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	50_perc_annual_income	immediate	yes	one	other	3_perc_annual_income	immediate	yes	one	other	50_perc_annual_income	in_5_years	no	more_than_one	usa	41	millenials	Palm Springs	CA	west	2.833333	2.333333	-4.666667	2.333333	30041.666667	27416.666667	-13708.333333	-13708.333333
2026	2158	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	3_perc_annual_income	in_5_years	yes	one	other	50_perc_annual_income	immediate	yes	one	other	3_perc_annual_income	immediate	no	one	usa	41	millenials	Palm Springs	CA	west	5.166667	-2.333333	-2.333333	4.666667	16333.333333	-27416.666667	13708.333333	13708.333333
2027	2159	suborbital	male	75k_100k	75k_100k	1_car	grad_prof_degree	private	2_children	couple_with_children	head	house	own	non_hispanic	white	us_citizen	never	362_perc_annual_income	in_5_years	yes	more_than_one	other	362_perc_annual_income	immediate	no	one	usa	50_perc_annual_income	immediate	no	more_than_one	other	41	millenials	Palm Springs	CA	west	5.166667	-2.333333	4.666667	-2.333333	226041.666667	-91145.833333	-91145.833333	182291.666667

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length